JAXA Repository / AIREX 未来へ続く、宙(そら)への英知
63997010.pdf757.24 kB
titleニューラルネットワークによる静止軌道の高エネルギー電子フラックス予測について
Other TitleForecast of high-energy electron flux at geosynchronous orbit using neural network
Author(jpn)亘 慎一; 徳光 政弘; 北村 健太郎; 石田 好輝
Author(eng)Watari, Shinichi; Tokumitsu, Masahiro; Kitamura, Kentaro; Ishida, Yoshiteru
Author Affiliation(jpn)情報通信研究機構; 豊橋技術科学大学; 徳山工業高等専門学校; 豊橋技術科学大学
Author Affiliation(eng)National Institute of Information and Communications Technology; Toyohashi University of Technology; Tokuyama College of Technology; Toyohashi University of Technology
Issue Date2008-03-31
PublisherJapan Aerospace Exploration Agency (JAXA)
宇宙航空研究開発機構
Publication title第4回宇宙環境シンポジウム講演論文集
Proceedings of the 4th Spacecraft Environment Symposium
Start page79
End page84
Publication date2008-03-31
Languagejpn
AbstractHigh-energy electron flux at geosynchronous orbit significantly increases associated with high speed solar wind. The high-energy electron cause internal charging of satellites. It is important for satellite operations to forecast increase of the flux. Here, we report a forecast model using neural network with inputs of solar wind data.
DescriptionJAXA Special Publication
宇宙航空研究開発機構特別資料
Keywordsaerospace environment; geostationary orbit; high energy electron; neural network; solar wind; solar activity; outer radiation belt; spacecraft charging; spacecraft design; prediction; space weather; 航空宇宙環境; 静止軌道; 高エネルギー電子; ニューラルネットワーク; 太陽風; 太陽活動; 放射線帯外帯; 宇宙機帯電; 宇宙機設計; 予測; 宇宙天気
Document TypeConference Paper
JAXA Category特別資料
ISSN1349-113X
SHI-NOAA0063997010
Report NoJAXA-SP-07-030
URIhttps://repository.exst.jaxa.jp/dspace/handle/a-is/47568


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